Objective:To analyze the differences in emergency rescue service capacities between county-level hospitals in Zhejiang and Jiangsu provinces, and propose targeted improvement suggestions.Methods:Cluster sampling was employed, with representative county-level hospitals recommended by provincial hospital alliances in Zhejiang and Jiangsu. Emergency departments voluntarily submitted data, resulting in 24 hospitals from Zhejiang and 34 from Jiangsu. Data were collected through the China County-Level Hospital Emergency Service Capability Evaluation System. Differences between provinces were analyzed. Spearman correlation analysis explored relationships between multidimensional indicators, and multivariate logistic regression identified factors influencing hospital grade B++ and above.Results:In terms of department scale, Jiangsu had a larger emergency department area (4 853 m 2vs. 1 927 m 2, P<0.001), more beds of comprehensive inpatient wards in the emergency department (25.5 beds vs. 5.5 beds, P=0.011), and higher scores for the ratio of emergency department area to beds (4.8 vs. 3.4, P=0.005) than Zhejiang. In terms of staffing, Jiangsu had a higher proportion of doctors with master's degrees or above (13.8% vs. 0.0%, P<0.001), a higher proportion of frontline emergency medical staff with over three years of clinical experience (100.0% vs. 91.5%, P=0.001), and more doctors (19 vs. 15, P=0.039) and nurses (46 vs. 32, P=0.039). In terms of quality and safety and medical service capacity, Zhejiang had a higher severe trauma resuscitation success rate (92.9% vs. 83.75%, P=0.003), annual emergency surgery volume (1 002 vs. 428, P=0.015), and number of emergency surgery procedures (125 vs. 42, P=0.027), but Jiangsu had a shorter emergency room stay time (87.5 min vs. 136.2 min, P=0.029). In terms of informatization, Zhejiang outperformed Jiangsu in all indicators, especially in patient information interconnection and sharing (100.0% vs. 82.4%, P=0.030) and in-hospital diagnosis and treatment timeline (91.7% vs. 73.5%, P=0.043). Correlation analysis showed that the total specialty scale score was significantly positively correlated with the in-hospital emergency rescue service capacity score ( r=0.576) and the staffing score ( r=0.455). The total evaluation score was significantly positively correlated with the informatization total score ( r=0.397) and the pre-hospital emergency rescue service capacity score ( r=0.322). Binary Logistic regression analysis showed that the emergency rescue service capacity score was significantly positively correlated with hospital grade ( B=1.431, P=0.03, OR=4.185, 95% CI:1.152-15.205). For every 1-unit increase in the emergency department area ( B=0.002, P=0.05), the probability of a hospital being upgraded to B++ or above increased by 0.2% ( OR=1.002, 95% CI:1.000-1.004). Conclusions:Both provinces exhibit distinct advantages in emergency department development. Departmental scale and configuration significantly impact emergency service capabilities, while staffing and quality management constitute core elements for improvement. Informatization construction notably enhances emergency service efficiency and quality.

Objective:To investigate the predictive value of multimodal magnetic resonance imaging (MRI) techniques in assessing symptom remission of post-traumatic stress disorder (PTSD) of bereaved parents who lost their only child.Methods:In this prospective study, 34 parents with PTSD resulting from the loss of the only child were followed-up for 2 years. Based on the PTSD diagnostic status at the end of the follow-up, participants were divided into the remission group and the persistent group.R 3.6.1 and SPSS 20.0 software were used for statistical analysis.Baseline clinical data and neuroimaging findings were compared between the two groups. Logistic regression and LASSO regression analyses were used to identify independent predictors of PTSD symptom remission. The predictive performance of these factors was evaluated by receiver operating characteristic (ROC) curve analysis.Results:Initial screening with univariate Logistic regression and LASSO regression revealed that regional homogeneity (ReHo) in the left middle temporal gyrus, the combined predictive value based on ReHo, and the integrated predictive value combining gray matter volume (GMV) and ReHo (GMV-ReHo predictor) were significant factors influencing symptom remission (all P<0.05). Multivariate Logistic regression further demonstrated that the GMV-ReHo predictor retained independent predictive significance ( P<0.05), with ROC curve analysis showing an area under the curve (AUC) of 0.979 (95% CI=0.935-0.996, P<0.001) for its ability to predict PTSD remission. Notably, a combined model incorporating both the scores of the clinician administered PTSD scale (CAPS) and the GMV-ReHo predictor achieved an enhanced predictive performance, yielding an AUC of 0.984 (95% CI=0.952-0.998, P<0.001). Conclusion:The GMV-ReHo predictor effectively identifies symptom remission in PTSD resulting from the loss of the only child.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network between participants with subjective cognitive decline (SCD) and healthy individuals, and to analyze the correlations of the volumes of the different subfields and altered covariance brain regions with memory function.Methods:A total of 57 SCD individuals(SCD group) and 44 normal controls(NC group) participants were assessed for memory function using composite scores from the auditory verbal learning test (AVLT) and the Wechsler memory scale visual reproduction (VR) test from June 2022 to October 2023.T1-weighted structural magnetic resonance imaging (MRI) data were collected from all participants, and hippocampal subfields, cortical regions, and subcortical nuclei were segmented using FreeSurfer to measure the gray matter volume of each structure. A structural covariance network was constructed based on the correlation of gray matter volumes across regions. Statistical analysis was performed using R 4.3.1 software. Inter-group differences in hippocampal subfield volumes were compared using multivariate analysis of covariance. Differences in structural covariance connectivity between groups were assessed using Z-test, while network topology differences were compared through permutation testing. Finally, partial correlation analysis was used to examine correlation of the volumes of the differential hippocampal subfields and covariance brain regions with memory function. Results:The SCD group exhibited significantly lower years of education, AVLT-immediate score, AVLT-delayed score, VR-immediate score, VR-delayed score, and memory function Z-score compared to the NC group ( t=2.064, 3.888, 2.622, 3.222, 4.761, 5.184, all P<0.05). The volumes of the right subiculum((387.75±55.20)mm 3, (352.70±70.25)mm 3), left presubiculum((263.12±38.52)mm 3, (239.79±46.02)mm 3), left subiculum((388.12±49.34)mm 3, (351.74±67.30)mm 3) and left CA1((571.01±80.01)mm 3, (526.51±98.80)mm 3) in the SCD group were smaller than the corresponding volumes in NC group ( F=9.139, 8.039, 11.207, 7.266, all P<0.05, FDR correction). Differences in structural covariance connectivity were found between the SCD and NC groups in the following pairs: right CA1-right subiculum, right CA1-left subiculum, right CA3-left parasubiculum and right hippocampus-amygdala transition area-left subiculum ( Z=-3.848, -3.896, -3.597, -3.895, all P<0.05, FDR correction).Partial correlation analysis revealed that in the SCD group, the volume of the left subiculum ( r=0.359, P=0.007), left CA1 ( r=0.430, P=0.001), right entorhinal cortex ( r=0.296, P=0.029), right middle temporal gyrus ( r=0.361, P=0.007), right parahippocampal gyrus ( r=0.313, P=0.021)were positively correlated with the total memory function score. Conclusion:Hippocampal subfields atrophy, as well as alterations in structural covariance network, have been found in SCD individuals. Furthermore, the decline in memory function may be closely associated with atrophy in hippocampal subfields and structurally covariant regions.

Objective:To observe any effect of dual-task training on abnormal gait and fall risk among hemiplegic stroke survivors.Methods:A total of 90 stroke survivors were randomly divided into a control group, a cognitive dual-task group, and a motor dual-task group, each of 30. All 3 groups received conventional post-stroke medication and rehabilitation training, but the cognitive and motor dual-task groups received cognitive or motor dual-task training as well. Before and after 4 weeks of the training, everyone′s balance, walking and lower limb motor functioning were assessed using the Berg Balance Scale (BBS), the Timed Up and Go test (TUGT) and the Fugl-Meyer lower extremity assessment (FMA-LE). Additionally, three-dimensional gait analysis was performed to document gait speed, bilateral spatial asymmetry, bilateral temporal asymmetry, and the dual-task cost (DTC) of gait speed.Results:Significant improvement was observed in the average BBS scores, TUGT times, FMA-LE scores, gait speed, DTC of gait speed, bilateral spatial asymmetry ratios, and bilateral temporal asymmetry ratios of all 3 groups after the experiment. The averages of the cognitive dual-task group were then significantly better than the control group′s averages. The motor dual-task group′s average BBS score (42.67±7.87), TUGT time [(22.30±8.53)s], gait speed (0.58±0.2m/s), DTC of gait speed (19.02±5.99%), and bilateral spatial asymmetry ratio (19.79±10.41%) were then significantly better than the control group′s averages but not significantly different from those of the cognitive dual-task group.Conclusions:Dual-task training can significantly improve the balance, walking and lower limb motor function of stroke survivors, correcting their abnormal gait patterns and consequently reducing their fall risks.

Objective:To observe any effect of dual-task training on abnormal gait and fall risk among hemiplegic stroke survivors.Methods:A total of 90 stroke survivors were randomly divided into a control group, a cognitive dual-task group, and a motor dual-task group, each of 30. All 3 groups received conventional post-stroke medication and rehabilitation training, but the cognitive and motor dual-task groups received cognitive or motor dual-task training as well. Before and after 4 weeks of the training, everyone′s balance, walking and lower limb motor functioning were assessed using the Berg Balance Scale (BBS), the Timed Up and Go test (TUGT) and the Fugl-Meyer lower extremity assessment (FMA-LE). Additionally, three-dimensional gait analysis was performed to document gait speed, bilateral spatial asymmetry, bilateral temporal asymmetry, and the dual-task cost (DTC) of gait speed.Results:Significant improvement was observed in the average BBS scores, TUGT times, FMA-LE scores, gait speed, DTC of gait speed, bilateral spatial asymmetry ratios, and bilateral temporal asymmetry ratios of all 3 groups after the experiment. The averages of the cognitive dual-task group were then significantly better than the control group′s averages. The motor dual-task group′s average BBS score (42.67±7.87), TUGT time [(22.30±8.53)s], gait speed (0.58±0.2m/s), DTC of gait speed (19.02±5.99%), and bilateral spatial asymmetry ratio (19.79±10.41%) were then significantly better than the control group′s averages but not significantly different from those of the cognitive dual-task group.Conclusions:Dual-task training can significantly improve the balance, walking and lower limb motor function of stroke survivors, correcting their abnormal gait patterns and consequently reducing their fall risks.

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Objective Through studying the chemical composition changes before and after the compatibility of Hedysari Radix Paeparata Cum Melle(HRPCM)-vinegar processed Curcumae Rhizoma(VPCR);To discuss the significance of the compatibility of HRPCM and VPCR;To establish the fingerprints before and after their compatibility.Methods ZORBAX Eclipse Plus C18 column was used;acetonitrile-0.01%phosphoric acid water was set as mobile phase,with gradient elution;column temperature was 30℃;detection wavelength was 214 nm;sample injection was 10 μL,which was used to investigate the content difference of major chemical components such as vanillic acid,calycosin-O-β-D-glucopyranoside,ononin,calycosin,onocerin,curdione,cincumol and germacrone,and establish the fingerprint of HRPCM,VPCR and HRPCM-VPCR.Results HPLC chromatographic conditions were established for the determination of 8 components in HRPCM-VPCR.Meanwhile,fingerprints were established before and after the compatibility of HRPCM-VPCR.26 common peaks were identified,among which 11 components such as vanillic acid were derived from HRPCM,14 components such as curcuma zedoariae were derived from VPCR,and 1 component was shared by both.Conclusion The material basis of the compatibility of HRPCM-VPCR differs from that of HRPCM and VPCR.The content of most chemical components decreases while the content of some components increases.The established HPLC method for content determination and fingerprint is simple,stable and reproducible,which can be used to evaluate and control the quality of HRPCM and VPCR.

Objective To evaluate the efficacy and safety of biomaterial sling in the treatment of female stress urinary incontinence (SUI), so as to explore the possibility of replacing traditional synthetic materials with biomaterials in SUI surgery. Methods Clinical data of 22 SUI patients undergoing retropubic mid-urethral sling surgery in our hospital during Jan.and Dec.2023 were retrospectively collected. Perioperative parameters were analyzed, and all patients were followed up for more than one year. The quality of life was assessed using the incontinence impact questionnaire-short form-7 (IIQSF-7), numerical rating scale (NRS), and urogenital distress inventory-short form-6 (UDI-6). Results All 22 operations were successfully completed. The follow-up was 13-25 (mean 15.2±4.6) months, operation time (47.0±11.1) minutes, hospital stay (0.8± 0.2) days, and pain duration (6.1±4.9) days. One year after surgery, all patients'NRS, IIQSF-7 and UDI-6 scores were significantly reduced (P<0.001). One week after surgery, all patients were improved. No sling exposure or urinary tract infection was found during the follow-up. Conclusion Biomaterial sling is an effective and relatively safe method for the treatment of female SUI, demonstrating satisfactory short-term outcomes. However, the long-term effects still need further research.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

Objective Through studying the chemical composition changes before and after the compatibility of Hedysari Radix Paeparata Cum Melle(HRPCM)-vinegar processed Curcumae Rhizoma(VPCR);To discuss the significance of the compatibility of HRPCM and VPCR;To establish the fingerprints before and after their compatibility.Methods ZORBAX Eclipse Plus C18 column was used;acetonitrile-0.01%phosphoric acid water was set as mobile phase,with gradient elution;column temperature was 30℃;detection wavelength was 214 nm;sample injection was 10 μL,which was used to investigate the content difference of major chemical components such as vanillic acid,calycosin-O-β-D-glucopyranoside,ononin,calycosin,onocerin,curdione,cincumol and germacrone,and establish the fingerprint of HRPCM,VPCR and HRPCM-VPCR.Results HPLC chromatographic conditions were established for the determination of 8 components in HRPCM-VPCR.Meanwhile,fingerprints were established before and after the compatibility of HRPCM-VPCR.26 common peaks were identified,among which 11 components such as vanillic acid were derived from HRPCM,14 components such as curcuma zedoariae were derived from VPCR,and 1 component was shared by both.Conclusion The material basis of the compatibility of HRPCM-VPCR differs from that of HRPCM and VPCR.The content of most chemical components decreases while the content of some components increases.The established HPLC method for content determination and fingerprint is simple,stable and reproducible,which can be used to evaluate and control the quality of HRPCM and VPCR.